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Quantifying Local and Global Fidelity of Nonlinear Embeddings

This story is from 2026-11-04. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2611.00290v1 Announce Type: new Abstract: Dimension reduction methods are chosen by a common claim: t-SNE and UMAP preserve local structure, and PCA preserves global structure. Checking it on given data takes local and global scores on one scale and a test that compares two maps. Both scores…

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  1. 2026-11-04 05:00 · arXiv cs.AI
    Quantifying Local and Global Fidelity of Nonlinear Embeddings

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